ctf-ai-mlskills.sh · ljagiello
7,461 installsProvides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.
SECRET_KEYEvidence lines
- executes_fetched_code — adversarial-ml.md: model.eval()
- executes_fetched_code — adversarial-ml.md: model.eval()
- executes_fetched_code — adversarial-ml.md: model.eval()
- executes_fetched_code — adversarial-ml.md: model.eval()
- executes_fetched_code — adversarial-ml.md: model.eval()
Our disclosure is a static description of what the skill declares and does; it is not a safety verdict. Source record: www.skills.sh/ljagiello/ctf-skills/ctf-ai-ml.
Install
npx skills add ljagiello/ctf-skills@ctf-ai-ml
Copied from the registry's documented install form. Read the disclosure above first; it is the whole point of this page.
Observed record
First seen 2026-10-19. The weekly re-scan will record install growth and any change to the skill's content hash; one observation so far.
Cite this page
Sato Hub. "ctf-ai-ml — skill disclosure on Sato Hub." Sato Hub, updated 2026-10-23, accessed 2026-10-23. https://satohub.ai/skills/skillssh%3Aljagiello%2Fctf-skills%2Fctf-ai-mlData last refreshed 2026-10-23; this page is rebuilt daily. Citations carry the date so a reader can tell which snapshot a claim came from. Catalog data is licensed CC-BY-4.0.